Senior Scientist, AI Applications - R&D Immunology Data Science & Digital Health

• Individual contributor focused on hands-on technical delivery of advanced analytic (AI/ML) Immunology R&D research.
• Work with immunology R&D and Data Science business leaders to translate business opportunities into hands-on research plans.
• Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions.
• Build novel agent memory architectures to enable persistent knowledge retention and context-aware decision-making across extended discovery workflows.
• Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning.
• Serve as a domain expert, articulating emerging AI/ML approaches and illustrating their practical applications within the industry.
• Benchmark agent performance against human expert decisions and existing computational methods, demonstrating ability to publish in leading journals and conferences.
• Define and enforce engineering best practices across AI prototyping, including architecture patterns, documentation standards, quality gates, and reproducibility criteria.
• Serve as a key contributor to the overarching AI strategy and to enable scaling and deployment of tools for the broader R&D community.

• Ph.D. in AI/ML or related field (eg, computer science, data science, applied mathematics, statistics) with at least 2 years post-doctoral experience.
• Knowledge of sophisticated mathematics such as Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, etc.
• Proficiency with open-source agentic frameworks (eg, LangGraph, DSPy, mem0) and deep learning frameworks (eg, PyTorch, TensorFlow).
• Proficiency in one or more programming languages - preferably Python.
• Positive and motivated demeanor with the ability to work independently and in a diverse, multi-disciplinary team.

Preferred Qualifications

• Understanding of the drug discovery pipeline and familiarity with biological data types.
• Experience in immunology research.
• Strong understanding of statistics and methodological validation of model performance.
• Familiarity with cloud hosting solutions (eg, AWS and/or Azure)., * Advanced Analytics
• Business Intelligence (BI)
• Coaching
• Collaborating
• Critical Thinking
• Data Analysis
• Database ManagementData Privacy Standards
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Econometric Models
• Process Improvements
• Technical Credibility
• Technologically Savvy
• Workflow Analysis

Base pay range: $109,000 to $174,800. Eligible for annual performance bonus and various company-sponsored benefit programs including medical, dental, vision, life insurance, disability, legal insurance, and retirement plans. Time Off Benefits

• Vacation: up to 120 hours per calendar year
• Sick time: up to 40 hours per calendar year
• Holiday pay, including Floating Holidays: up to 13 days per calendar year
• Work, Personal and Family Time: up to 40 hours per calendar year